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de Gennes Narrowing and Relationship between Structure and Dynamics in Self-Organized Ion-Beam Nanopatterning.
Myint, Peco; Ludwig, Karl F; Wiegart, Lutz; Zhang, Yugang; Fluerasu, Andrei; Zhang, Xiaozhi; Headrick, Randall L.
Afiliação
  • Myint P; Division of Materials Science and Engineering, Boston University, Boston, Massachusetts 02215, USA.
  • Ludwig KF; Department of Physics and Division of Materials Science and Engineering, Boston University, Boston, Massachusetts 02215, USA.
  • Wiegart L; National Synchrotron Light Source II, Brookhaven National Lab, Upton, New York 11973, USA.
  • Zhang Y; National Synchrotron Light Source II, Brookhaven National Lab, Upton, New York 11973, USA.
  • Fluerasu A; National Synchrotron Light Source II, Brookhaven National Lab, Upton, New York 11973, USA.
  • Zhang X; Department of Physics and Materials Science Program, University of Vermont, Burlington, Vermont 05405, USA.
  • Headrick RL; Department of Physics and Materials Science Program, University of Vermont, Burlington, Vermont 05405, USA.
Phys Rev Lett ; 126(1): 016101, 2021 Jan 08.
Article em En | MEDLINE | ID: mdl-33480781
ABSTRACT
Investigating the relationship between structure and dynamical processes is a central goal in condensed matter physics. Perhaps the most noted relationship between the two is the phenomenon of de Gennes narrowing, in which relaxation times in liquids are proportional to the scattering structure factor. Here, a similar relationship is discovered during the self-organized ion-beam nanopatterning of silicon using coherent x-ray scattering. However, in contrast to the exponential relaxation of fluctuations in classic de Gennes narrowing, the dynamic surface exhibits a wide range of behaviors as a function of the length scale, with a compressed exponential relaxation at lengths corresponding to the dominant structural motif-self-organized nanoscale ripples. These behaviors are reproduced in simulations of a nonlinear model describing the surface evolution. We suggest that the compressed exponential behavior observed here is due to the morphological persistence of the self-organized surface ripple patterns which form and evolve during ion-beam nanopatterning.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article